Data Science Student @ UC Berkeley
Data Scientist • NLP • Data Analytics • Backend Development
I'm a Data Science student at UC Berkeley passionate about building practical AI systems that solve real-world problems.
My primary interests include:
- 🤖 Machine Learning
- 🧠 Natural Language Processing (NLP)
- 📊 Data Analytics
- 💻 Backend Development
- 💁🏻 Data Scientist
I enjoy understanding data, building machine learning models, and making engineering decisions that balance accuracy, scalability, and real-world deployment.
- Scikit-learn
- Hugging Face Transformers
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook
Compared Logistic Regression and DistilBERT on 33K+ emails to evaluate the tradeoff between predictive performance and deployment efficiency.
Tech Stack
Python Scikit-learn Transformers Pandas
🔗 https://github.com/thtjs0076/spam-classifier
Built a character-level language identification model using PyTorch and rebuilt it into a multilingual Text-to-Speech routing pipeline.
Tech Stack
Python PyTorch NLP
🔗 https://github.com/thtjs0076/multilingual-tts-router
Performed an end-to-end A/B testing analysis to determine whether an observed lift was statistically significant and ready for production.
Tech Stack
Python Statistics Experimentation
🔗 https://github.com/thtjs0076/ab-test-analysis
Implemented Value Iteration and Q-Learning from scratch in a custom Gridworld environment.
Tech Stack
Python Reinforcement Learning
🔗 https://github.com/thtjs0076/rl-gridworld-qlearning
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- MLOps
- Production Machine Learning
💻 GitHub